At a Glance
- Tasks: Lead AI product strategy and ensure quality deployment across our Conversational Commerce platform.
- Company: Join Rezolve Ai, a leader in AI-powered solutions transforming customer engagement.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and career advancement.
- Why this job: Make a real impact in AI innovation and shape the future of commerce.
- Qualifications: 4-7+ years in Product Management with hands-on experience in LLM systems.
The predicted salary is between 70000 - 90000 £ per year.
About Rezolve Ai
Rezolve Ai (NASDAQ: RZLV) is an industry leader in AI-powered solutions, specializing in enhancing customer engagement, operational efficiency, and revenue growth.
The Brain Suite delivers advanced tools that harness artificial intelligence to optimize processes, improve decision-making, and enable seamless digital experiences.
As a leader in Product Discovery, we empower retailers and brands with AI-driven search, conversational commerce, geofencing, and one-touch instant payments.
With recent acquisitions of Vi Senze, Group By and Bluedot, Rezolve is accelerating innovation at the intersection of AI, commerce, and customer engagement.
About the Role
We are hiring an AI Product Manager to own the evaluation, quality, and safe deployment of AI across Rezolve’s Conversational Commerce platform.
You will define how LLMs and agentic systems are used in production, set guardrails and quality standards, and own go/no-go decisions for AI-driven changes.
You will work closely with Product, Engineering, and AI teams to ensure Conversational Commerce delivers trusted, enterprise-ready AI experiences.
This is a high-impact role with influence across product strategy, architecture, and execution.
Responsibilities
- AI Product Ownership & Strategy: Own the evolution of AI capabilities within Conversational Commerce.
- Define how conversational and agentic AI translate into differentiated customer value.
- Partner with the Principal PM to shape roadmap priorities, sequencing, and trade-offs.
- AI Evaluation, Quality & Decision Ownership: Own the AI evaluation strategy, including:
- Success metrics
- Experiments and analysis
- Tying model performance to user and business outcomes
- Define and track core AI quality metrics (e. g. task success, hallucinations, latency).
- Own go / no-go decisions for AI changes (ship, rollback, iterate).
- Clearly communicate impact, risk, and trade-offs to Product, Engineering, and Leadership.
- Model Safety & Guardrails: Own LLM safety testing
- Define and evolve guardrails to ensure safe, reliable AI behaviour.
- Partner with engineering on grounding strategies, constraints, fallbacks, and escalation paths.
- Ensure AI systems are observable and improve over time
- Conversational & Multi-Agent Systems: Contribute to decisions on how LLMs are deployed across conversational flows.
- Help shape the Conversational Commerce multi-agent framework, including:
- Agent roles and responsibilities
- Orchestration and task decomposition
- Tool usage boundaries
- Ensure agentic systems are testable, debuggable, and scalable.
- Discovery & Execution: Lead continuous discovery through customer research, usage analysis, and feedback loops.
- Validate that AI capabilities solve real, high-impact customer problems.
- Translate AI strategy into clear requirements, roadmaps, and prioritized backlogs.
- Enable fast execution without compromising quality or trust.
About You
- Essential
- 4–7+ years in Product Management, Applied AI, or ML-adjacent roles
- Hands-on experience shipping LLM-powered systems in production.
- Strong understanding of LLM failure modes, evaluation techniques, and mitigation strategies.
- Comfortable making trade-offs across capability, cost, latency, and risk.
- Clear, confident communicator across technical and non-technical teams.
- First 6 months
- Clear AI evaluation and quality framework adopted across Conversational Commerce.
- Defined guardrails and safety standards enforced in production.
- Stable, observable conversational and agentic flows operating at scale.
- Confident go / no-go decision-making for AI changes.
- Strong alignment across Product, Engineering, AI, and Commercial teams.
- #J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Groupbyinc!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Groupbyinc would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Groupbyinc through your school's career services!
We think you need these skills to ace AI Product Manager in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like AI Product Manager, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the AI Product Manager position at Groupbyinc. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Groupbyinc
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
